Hiroki Matsutani
Papers
9
Total Citations
122
H-Index
6
About
Hiroki Matsutani is a leading researcher in real-time embedded systems and FPGA acceleration for autonomous robotics. His work focuses on bridging the gap between limited computational resources on mobile robots and the demanding requirements of LiDAR SLAM (Simultaneous Localization and Mapping) and path planning. Matsutani’s major contributions include the design of the Dependable Responsive Multithreaded Processor (D-RMTP), a specialized SoC for distributed real-time systems, notably deployed in the humanoid robot Kojiro. More recently, he has pioneered efficient FPGA-based accelerators for 2D/3D LiDAR SLAM algorithms, achieving real-time performance on low-cost FPGAs—a critical enabler for indoor cleaning and navigation robots. His work on the P3Net accelerator for deep learning-based path planning further extends this impact. With papers accumulating over 120 citations, including a highly cited 2022 universal LiDAR SLAM accelerator study, Matsutani’s research is essential reading for engineers seeking to deploy sophisticated autonomy on resource-constrained hardware.
Research Focus
Key Achievements
Top Papers
- 1A Universal LiDAR SLAM Accelerator System on Low-Cost FPGA30 citations · 2022
- 2
- 3An FPGA Acceleration and Optimization Techniques for 2D LiDAR SLAM Algorithm19 citations · 2021
- 4
- 5An Integrated FPGA Accelerator for Deep Learning-Based 2D/3D Path Planning11 citations · 2024
- 6A unified accelerator design for LiDAR SLAM algorithms for low-end FPGAs7 citations · 2021
- 7P3Net: PointNet-based Path Planning on FPGA5 citations · 2022
- 8
- 9A Low-Power Link Speed Control Method on Distributed Real-Time Systems2 citations · 2013